Startup technology firm with offices in New York, Connecticut, and San Francisco. Our client’s platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models. 

Responsibilities:

  • Engineer reliability and performance into our product and services
  • Instrument and monitor service health
  • Manage and secure our cloud-based infrastructure
  • Diagnose and fix issues in a distributed, containerized application
  • Incident response (on-call) and root cause analysis
  • Implement and manage access control and security services
  • Collaborate with developers and PMs to continuously improve the platform
  • Develop tools and processes to improve efficiency and reduce toil

Qualifications:

  • Experience with managing cloud environments (AWS, GCP, Azure)
  • Strong coding ability (Python, Bash)
  • Systems fluency (Linux, storage, networking)
  • Experience with container management (Kubernetes, Docker)
  • Observability systems (New Relic, Prometheus)
  • Operating stacks based on modern software components (Redis, ElasticSearch, RabbitMQ, MongoDB, PostgreSQL, Play)
  • Programming experience (Python, Go, Bash)
  • Infrastructure and configuration automation (Terraform, SaltStack)
  • Exceptional problem solving acumen

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